ENTERPRISE AI

Prepare Your Business for AI That Understands How It Works

Enterprise AI needs more than data, models, and automation. Mavim provides the process and operational context AI needs to understand how your business works, act within defined boundaries, and become part of governed business execution.

Talk to a Mavim Expert Explore Enterprise AI ↓
AI-integratiehub met verbonden bedrijfsmodules

TRUSTED BY ORGANIZATIONS CONNECTING PROCESSES, PEOPLE AND TECHNOLOGY AT SCALE

  • Jabra
  • Salvation Army-1
  • Zeppelin-Cat
  • JM Family
  • Carglass
  • Cargill
  • Cegeka
  • schiphol-logo-grey
  • Dominos
  • Mondelez
  • Accenture
  • Port-of-Rotterdam
THE ENTERPRISE CONTEXT GAP

AI Can Understand the Task. But Does It Understand the Business?

Enterprise AI is moving beyond individual productivity toward agents that can act across processes, systems, and teams. But understanding a task is not the same as understanding how the business operates. AI often lacks the context behind the work: why activities exist, who owns them, which dependencies matter, what controls apply, and how one action affects the wider organization.

Without that context, AI can optimize individual tasks while creating risk elsewhere. To operate reliably at enterprise scale, AI needs to understand the business, not just the work.

BUSINESS CONTEXT FOR AI

Give Enterprise AI the Business Context It Needs

AI becomes more valuable when it understands not only what work is happening, but how the business is designed to operate.

Mavim turns connected process knowledge into Business IQ: structured operational context that helps AI understand how work fits into the wider organization.

PROCESS INTELLIGENCE

Understand how work connects end to end

Give AI context about how processes and activities connect across functions, rather than treating individual tasks in isolation.

OPERATIONAL GOVERNANCE

Put ownership and controls in context

Connect processes to ownership, controls, policies, and decision points so AI operates within the boundaries of the business.

SYSTEM RELATIONSHIPS

Connect processes to the technology behind them

Make the relationships between processes, systems, integrations, and data sources part of the operational context AI can use.

ENTERPRISE TRACEABILITY

See how actions connect across the business

Make dependencies, change impact, and downstream effects visible so AI-enabled actions can be understood in their wider operational context.

PROCESS INTELLIGENCE + OPERATIONAL GOVERNANCE + SYSTEM RELATIONSHIPS + ENTERPRISE TRACEABILITY → BUSINESS IQ
PROCESS-FIRST AI

Why Process Comes First 

AI should not determine how the business works. It should operate within processes that make purpose, responsibility, and boundaries explicit.

As AI becomes more autonomous, that process context helps define what AI should do, where human responsibility remains, and when intervention is required.

Van AI-assistentie naar autonome operaties
AGENTIC OPERATIONS

From AI Assistance to Agentic Operations

Enterprise AI is evolving from helping people complete tasks to agents that can take action across processes and systems.

As AI becomes part of business execution, the opportunity shifts from making individual tasks faster to enabling people and agents to work together across end-to-end operations, while human ownership and accountability remain clear.

OPERATIONAL INTELLIGENCE

From Productivity Intelligence to Operational Intelligence

The first wave of enterprise AI focused on helping individuals work more productively. As AI moves into business operations, understanding how work happens is no longer enough. AI also needs to understand the operational context around that work.

Within the Microsoft ecosystem, Work IQ provides intelligence about how people work, while Mavim Business IQ adds understanding of how the business operates. Together, they connect work with the processes, governance, and operational context needed for more business-aware AI.

Microsoft Work IQ

Understand how work happens
Provides signals around productivity, collaboration, user intent, behavior, and knowledge accessibility.

Mavim Business IQ

Understand how the business operates
Adds process intelligence, operational governance, business dependencies, and enterprise traceability.

Work IQ + Business IQ → Operational Intelligence

Connecting how work happens with the context of how the business operates.

EMERGING USE CASES

What Business-Aware AI Could Look Like in Practice

As AI gains access to process and operational context, new possibilities emerge for agents that do more than automate isolated tasks.
They can support decisions and actions with awareness of the wider business environment.

TRANSFORMATION READINESS

Understand the impact before change happens

Agents could assess process dependencies, ownership, and operational impact to help teams understand where change may affect the wider organization.

 

PROCESS COMPLIANCE

Bring governance into AI-enabled execution

Agents could use process context, controls, and business rules to support more consistent execution and identify where activities may deviate from defined ways of working.

 

OPERATIONAL CHANGE INTELLIGENCE

Connect individual changes to wider consequences

Agents could help assess downstream effects before workflows, policies, or operational decisions are changed, bringing broader business context into the decision.

 

The opportunity is not simply to automate more work, but to make AI more aware of the business it acts within.
WHY MAVIM

Built for Business-Aware Enterprise AI

Enterprise AI needs more than access to technology and data. Mavim brings the process foundation, operational context, governance, and Microsoft alignment needed to connect AI with how the business actually operates.

Process-First by Design

Start with how the business works
Ground AI in end-to-end business processes, rather than adding automation to isolated tasks without understanding their wider purpose.

Context Beyond Data

Turn organizational knowledge into Business IQ
Connect processes, roles, systems, ownership, and dependencies so AI can reason with operational context, not just information.

Governance in Context

Keep execution connected to business intent
Embed ownership, controls, and traceability into the operating context that guides AI-enabled work.

windows (2)

Microsoft-Aligned

Complement the intelligence Microsoft provides
Extend Microsoft's enterprise AI ecosystem with the Business IQ needed to connect work, processes, governance, and operational execution.

RESOURCES

Explore the Foundations of Business-Aware AI

Go deeper into the business context Enterprise AI needs to move beyond productivity and task automation. Explore the thinking behind Business IQ, operational intelligence, and Mavim’s role in enabling more context-aware and governed AI.

POINT OF VIEW

Work IQ + Business IQ: The Missing Layer for Enterprise AI

Why can capable AI agents still struggle to operate responsibly across the enterprise? Explore the organizational context gap and how combining Work IQ with Business IQ can ground AI in processes, dependencies, governance, and business intent.

Work IQ + Business IQ—The Missing Layer for Enterprise AI

 

Read the Point of View
EXECUTIVE GUIDE

Work IQ + Business IQ: Why Enterprise AI Needs Both

Discover why the next wave of Enterprise AI requires more than productivity intelligence. This guide explores how Work IQ and Business IQ come together to create the operational intelligence needed for AI that understands both work and the business around it.

Read the Executive Guide
EXECUTIVE GUIDE

Mavim as the Business Orchestration Layer for Enterprise AI

See how Mavim turns process knowledge into Business IQ by connecting end-to-end processes with ownership, governance, systems, and dependencies, creating operational context that can strengthen AI-enabled execution across the Microsoft ecosystem.

Read the Executive Guide
ENTERPRISE AI FAQ

Frequently Asked Questions About Enterprise AI

Explore how business context, processes, governance, and Business IQ help organizations prepare for Enterprise AI and increasingly agentic operations.

What is Enterprise AI?

Enterprise AI refers to the use of AI across business operations, moving beyond individual productivity and isolated task automation. As AI becomes more embedded in processes and agents gain greater autonomy, they need to understand the organizational context in which they operate, including processes, ownership, dependencies, governance requirements, and business outcomes.

What is Enterprise AI readiness?

Enterprise AI readiness is the ability to prepare processes and organizational context for AI-enabled and agent-driven operations. It requires more than deploying AI technology. Organizations need process intelligence, governance readiness, operational context, and traceability so AI can operate reliably within the realities and requirements of the business. 

Why does Enterprise AI need business context?

AI can understand a task without understanding why it exists, who owns it, which controls apply, or how its actions affect other parts of the organization. Business context connects these elements, helping AI act with greater awareness of organizational intent, operational dependencies, governance requirements, and wider business impact.

What is Business IQ?

Business IQ is the operational context layer that helps AI understand how the business operates. It brings together process intelligence, governance, ownership, system relationships, dependencies, and enterprise traceability. Mavim uses this connected context to turn isolated process knowledge into a structured understanding of the organization that AI can use.

Why are business processes important for Enterprise AI?

Business processes provide the operating context in which AI acts. They connect individual activities to business outcomes, responsibilities, systems, decisions, and controls. As agents become more autonomous, this process context helps establish where AI fits into execution and how its actions relate to the wider organization.

How can organizations govern AI agents at scale?

Organizations can govern AI agents by keeping agentic execution connected to defined processes, ownership, controls, and operational dependencies. This provides clearer boundaries for AI actions while maintaining human accountability, traceability, and visibility into downstream impact as AI becomes more involved in business execution.

What is the difference between Work IQ and Business IQ?

Work IQ helps AI understand how work happens, including productivity, collaboration, user intent, behavior, and knowledge. Business IQ adds understanding of how the organization operates through process intelligence, governance, system relationships, business context, and traceability. Together, they connect the reality of work with the operating context of the business.

How does Mavim support Enterprise AI in the Microsoft ecosystem?

Mavim complements Microsoft's enterprise AI capabilities with Business IQ: structured context about processes, ownership, governance, systems, and operational dependencies. This connects Microsoft's platforms, agents, and work intelligence more closely to how the business is designed to operate, supporting more context-aware and governed AI-enabled execution.

AI-stadsecosysteem in neonlichten
PREPARE FOR ENTERPRISE AI

Make Your Business Ready for AI That Acts

Enterprise AI becomes more powerful as it moves from assistance into business execution. Make sure your processes, operational context, and governance are ready to move with it.

Talk to a Mavim Expert Explore Mavim